Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor
Rakesh Mehta, Karen Egiazarian
2013
Abstract
In this paper we propose two novel rotation invariant local texture descriptors. They are based on Local Binary Pattern (LBP), which is one of the most effective and frequently used texture descriptor. Although LBP efficiently captures the local structure, it is not rotation invariant. In the proposed methods, a dominant direction is evaluated in a circular neighbourhood and the descriptor is computed with respect to it. The weights associated with the neighbouring pixels are circularly shifted with respect to this dominant direction. Further, in the second descriptor, the uniformity of the patterns is utilized to extract more discriminative information. The proposed methods are tested for the task of texture classification and the performance is compared with original LBP and its existed extensions.
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in Harvard Style
Mehta R. and Egiazarian K. (2013). Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 497-502. DOI: 10.5220/0004334304970502
in Bibtex Style
@conference{icpram13,
author={Rakesh Mehta and Karen Egiazarian},
title={Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={497-502},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004334304970502},
isbn={978-989-8565-41-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor
SN - 978-989-8565-41-9
AU - Mehta R.
AU - Egiazarian K.
PY - 2013
SP - 497
EP - 502
DO - 10.5220/0004334304970502